scholarly journals SMEs and Mass Collaborative Knowledge Management: Toward Understanding the Role of Social Media Networks

2017 ◽  
Vol 34 (3) ◽  
pp. 280-290 ◽  
Author(s):  
Veronica Scuotto ◽  
Manlio Del Giudice ◽  
Kingsley Obi Omeihe
Author(s):  
Pauline Hope Cheong

Beyond the widespread coverage of terrorism-related stories on international news outlets, we are witnessing the swift spread of alternative interpretations of these stories online. These alternative narratives typically involve digital transmediation or the remix, remediation, and viral dissemination of textual, audio, and video material on multiple new and social media platforms. This chapter discusses the role of new(er) media in facilitating the transmediated spread of extremist narratives, rumors, and political parody. Drawing from recent case studies based upon multi-modal analyses of digital texts on social media networks, including blogs, vlogs, Twitter, and Jihadist sites associated with acts of terror in Asia, Middle East, and North America, the chapter illustrates how digital transmediation significantly works oftentimes to construct counter narratives to government counter insurgency operations and mainstream media presentations. In discussing these examples, the chapter demonstrates how the new media points to varied narratives and reifies notions of national security, global politics, terrorism, and the media's role in framing the “War on Terrorism.” Moreover, a critical examination of remix texts and digital mashups of popular artifacts inform a Web 2.0 understanding of how the creative communication practices of online prosumers (hybrid consumers and producers) contest dominant interests in the online ideological battlefield for hearts and minds.


Author(s):  
Krissada Maleewong ◽  
Chutiporn Anutariya ◽  
Vilas Wuwongse

This paper presents an approach to enhance various intelligent services of a Web-based collaborative knowledge management system. The proposed approach applies the two widely-used argumentation technologies, namely IBIS and Toulmin’s argumentation schemes, to structurally capture the deliberation and collaboration occurred during the consensual knowledge creation process. It employs RDF and OWL as its underlying knowledge representation language with well-defined semantics and reasoning mechanisms. Users can easily create knowledge using a simple corresponding graphical notation with machine-processable semantics. Derivation of implicit knowledge, similar concept discovery, as well as semantic search, are also enabled. In addition, the proposed approach incorporates the term suggestion function for assisting users in the knowledge creation process by computing the relevance score for each relevant term, and presenting the most relevant terms to users for possible term reusing or equivalence concepts mapping. To ensure the knowledge consistency, a logical mechanism for validating conflicting arguments and contradicting concepts is also developed. Founded on the proposed approach, a Web-based system, namely ciSAM, is implemented and available for public usage.


2019 ◽  
Vol 53 (3) ◽  
pp. 304-317
Author(s):  
Weiwei Guo

Purpose Knowledge has become the basis of enhancing the core competitiveness of enterprises in this era of knowledge-driven economies. Collaborative knowledge management not only realizes the real-time exchange and communication of knowledge among different enterprises, but also facilitates the collaboration and integration of knowledge. Collaborative knowledge management has been successfully applied to different fields. To address the poor ecological responsibility of enterprises, the purpose of this paper is to introduce the concept of collaborative knowledge management in this research to determine if the evolution of the decision-making process in collaborative knowledge management is involved in corporate ecological responsibility (CER). Design/methodology/approach This research established an evolutionary game model of collaborative knowledge management for CER. The behavioral, evolutionary law and stable behavioral, evolutionary strategy of the participants was identified according to the replicator dynamics equation. Simulation analysis was conducted using MATLAB software. Findings Research results demonstrated that, first, the strategic selection of firms is influenced by cost and interest coefficients. Second, the strategy, selection of enterprises, is related to the common benefits of enterprise cooperation. Third, during the systematic evolution and stabilization of strategies, enterprises adopt the same knowledge strategies. Originality/value On the basis of the research findings, policy suggestions were proposed to encourage enterprises to implement collaborative knowledge management strategies in ecological responsibility.


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